品玩8月28日讯，据 Arxiv 页面显示，来自清华大学、俄亥俄州立大学、中国科学院大学和山东大学等多所高校的研究者们近日发表论文，介绍了一款可用于解决知识库问答问题的框架FlexKBQA 。
论文表示，FlexKBQA利用大型语言模型作为程序翻译器，可以解决少样本知识库问答任务中固有的挑战。FlexKBQA利用自动算法从知识库中抽取多样的程序，然后通过大语言模型将其转化为自然语言问题。这个合成的数据集有助于训练一个专门的轻量级模型用于知识库问答。
研究显示，FlexKBQA在少数标注的情况下取得了令人印象深刻的结果，相对于全监督模型的性能达到了93%的水平。
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